Paper Citation Record · LEDGER

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2402.08846.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.08846 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:17:35.289242Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T20:37:34.440026Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2ab4cb9-f143-45b2-9f74-ba441f2be27a · inbound

Dual Information Speech Language Models for Emotional Conversations cites this paper.

Dual Information Speech Language Models for Emotional Conversations An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T21:45:22.388008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db43db0-dba1-4fca-8ce9-bd411e41521b · inbound

RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition cites this paper.

RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T04:17:35.289242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8005c93-cc00-44fa-bb0f-4ec3663f192a · inbound

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge cites this paper.

Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:01:03.613617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7456a1-cfec-42dc-8ed9-fd7c83588c02 · inbound

Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs cites this paper.

Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T16:46:49.196106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f2f1b3-3766-4a55-a261-a2edd83ae08c · inbound

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation cites this paper.

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T15:27:29.280697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dabc5971-19b3-45e2-8aa3-f0fbed91b423 · inbound

Group Relative Policy Optimization for Speech Recognition cites this paper.

Group Relative Policy Optimization for Speech Recognition An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T12:07:21.317118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16abd9eb-df37-4f74-9542-77af2a53c1b2 · inbound

Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition cites this paper.

Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:04.817224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2508d2-110c-4be6-afcc-a424821966ce · inbound

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings cites this paper.

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:53:23.962333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f964f5-1a8a-4393-b402-e7f00e95610b · inbound

UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models cites this paper.

UniVoice: Unifying Autoregressive ASR and Flow-Matching based TTS with Large Language Models An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T11:29:34.295228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b59a83-9cb8-49fa-a2a4-4b2c8699e090 · inbound

Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection cites this paper.

Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:40:51.425344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ffd01fc1-cdd3-4e8c-b2a2-fd18b9a8ff10 · inbound

LLMs and Speech: Integration vs. Combination cites this paper.

LLMs and Speech: Integration vs. Combination An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:45:28.356069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 21e856e1-d7e0-4d88-bdde-df5b4978a8f5 · inbound

LLMs and Speech: Integration vs. Combination cites this paper.

LLMs and Speech: Integration vs. Combination An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T20:46:17.286576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd1d5bc-f9d8-4245-ac25-5860d4d827e1 · inbound

Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR cites this paper.

Closing the Speech-Text Gap with Limited Audio for Effective Domain Adaptation in LLM-Based ASR An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:52.056588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 63ac30c2-c9f2-4acb-97ca-3450bc6c544e · inbound

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition cites this paper.

Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:45:49.116917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a6796af1-5374-4c57-8f2f-e507b4237054 · inbound

Phonemes vs. Projectors: An Investigation of Speech-Language Interfaces for LLM-based ASR cites this paper.

Phonemes vs. Projectors: An Investigation of Speech-Language Interfaces for LLM-based ASR An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:59.471763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 96265c51-0a44-4540-9c46-f7f1196ab634 · inbound

Speaker Attributed Automatic Speech Recognition Using Speech Aware LLMS cites this paper.

Speaker Attributed Automatic Speech Recognition Using Speech Aware LLMS An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:11:00.884611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5c21b94-693d-4df0-ae81-e480800009b4 · inbound

Contextual Biasing for ASR in Speech LLM with Common Word Cues and Bias Word Position Prediction cites this paper.

Contextual Biasing for ASR in Speech LLM with Common Word Cues and Bias Word Position Prediction An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:35:33.952747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4f734acb-6cfd-4bdc-a430-ccea693940fc · inbound

In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions cites this paper.

In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.718348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1cc8376e-1167-47d1-84d9-45cd2b614353 · inbound

Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR cites this paper.

Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:23:31.982546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c0f63a5a-61d1-4360-9057-207586259bc6 · inbound

Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR cites this paper.

Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:45:03.653925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bdd076fe-6dd0-445d-b3f1-f57e0a6feeb6 · inbound

SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription cites this paper.

SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:06:24.528096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d4277d40-1e2b-4807-87b2-982b3b0785da · inbound

TRADE: Transducer-Augmented Decoder for Speech LLM cites this paper.

TRADE: Transducer-Augmented Decoder for Speech LLM An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.702381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 632df31e-02d9-4c56-b09d-cab846e7c658 · inbound

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification cites this paper.

RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:35.640798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ea183f7d-918b-4e36-970f-7b983777c7f2 · inbound

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation cites this paper.

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:27:44.951000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d7aacf95-318f-4cbf-965b-9d006b84d17b · inbound

Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling cites this paper.

Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:37:45.564372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cfb87c54-0c80-4817-b9a6-c43cd55448eb · inbound

Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR cites this paper.

Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASR An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:27:44.895442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 94579e9f-e5a5-4763-b6ad-d074958d75a7 · inbound

Aligning MusicLLM with Emotion using Instruction Tuning and Feedback-Driven Alignment cites this paper.

Aligning MusicLLM with Emotion using Instruction Tuning and Feedback-Driven Alignment An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:20:04.579470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bdccff6e-7a42-4bff-9dbd-f250118945e4 · inbound

Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs? cites this paper.

Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs? An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:08.201818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0867094c-0434-40cb-9141-7303a8ed75e6 · inbound

LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering cites this paper.

LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T07:12:19.297723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f7e0a52-5d58-43fa-926d-e60fa96128a2 · inbound

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs cites this paper.

Compress the Cache, Not the Speech Embedding: KV Compression for Efficient Speech LLMs An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-10T20:37:34.441426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c72269b7-e68e-40fd-9e73-4195f71fe3d5 · inbound

When Synthetic Speech Is All You Have: Better Call GRPO cites this paper.

When Synthetic Speech Is All You Have: Better Call GRPO An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-10T07:56:57.809471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 809360d3-6ffb-4409-a6c6-00ac8e76d07b · inbound

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond cites this paper.

MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T05:50:28.705395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.